The error you’re encountering (ValueError: could not convert string to float: '') suggests that the script is attempting to convert an empty string to a float. This typically occurs when there are empty cells, extra commas, or incorrect formatting in your CSV file.
To address this issue, you should modify the script to handle these cases. Here’s an updated version of the script with added error checking:
csv_file_path = 'path/to/your/file.csv'
# Create an empty list to store the vectors
with open(csv_file_path, 'r') as csvfile:
csvreader = csv.reader(csvfile)
# Assuming the CSV has x, y, z coordinates in separate columns
x, y, z = map(float, row[:3])
points.append(c4d.Vector(x, y, z))
print(f"Error parsing row {row}: {e}")
# Check if any points were parsed
print("No valid points found in the CSV file.")
# Create a new Matrix object or get an existing one
matrix_obj = c4d.BaseObject(c4d.Omatrix)
# Transfer the points to the Matrix object
for i, point in enumerate(points):
# Create a new matrix for each point
# Add the matrix to the object
# Insert the Matrix object into the current document
doc.InsertObject(matrix_obj)
Modifications:
-
Error Handling: Added a try-except block to handle rows that cannot be converted to floats.
-
Empty Row Check: Added a check to skip empty rows.
-
Points Check: Added a check to ensure that there are valid points before proceeding to create the Matrix object.
Remember to replace 'path/to/your/file.csv' with the actual path to your CSV file. If the CSV file format is not as expected (i.e., not every row has three columns with numeric values), this script will now print an error message for the problematic rows instead of failing entirely. This should help you identify and correct the formatting issues in your CSV file.